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Sample size determination for point-of-care COVID-19 diagnostic tests: A Bayesian approach

Lookup NU author(s): Dr Faye Williamson, Dr Cameron WilliamsORCiD, Dr Clare LendremORCiD, Professor Kevin WilsonORCiD

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Licence

This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).

Publication metadata

Author(s): Williamson SF, Williams CJ, Lendrem BC, Wilson KJ

Publication type: Article

Publication status: Published

Journal: Diagnostic and Prognostic Research

Year: 2023

Volume: 7

Online publication date: 18/08/2023

Acceptance date: 14/07/2023

Date deposited: 23/02/2024

ISSN (electronic): 2397-7523

Publisher: BioMed Central Ltd.

URL: https://doi.org/10.1186/s41512-023-00153-1

DOI: 10.1186/s41512-023-00153-1

Data Access Statement: he R code to implement the Bayesian assurance method (BAM) and power based methods is available from the corresponding author upon request. An online web application which performs the sample size calculations using the BAM is available at: https://micncltools.shinyapps.io/bayesiansamplesize/. The R code used to generate the simulated data used for the analysis is available on request.

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Funding

Funder referenceFunder name
MR/S014357/1
MRC

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